Build a practical GraphRAG pipeline: extract a knowledge graph, index nodes and chunks, retrieve local paths and global summaries, and synthesize grounded answers.
An intuitive, practical guide to diffusion models for image generation—how they work, architectures, guidance, sampling, and pro tips.
A clear, practical guide to RLHF—how human preferences train models, the pipeline, pitfalls, and modern variants like DPO and RLAIF.
Google I/O 2026: Gemini 3.5 Flash, Gemini Omni, a proactive ‘Spark’ agent, a major Search overhaul, and first “intelligent eyewear.”
A practical guide to building AI-powered semantic search: retrieval, reranking, hybrid strategies, RAG, evaluation, and operations at production scale.
Google sets a high bar for Gemini Intelligence on Android: 12GB RAM, flagship SoC, AICore + Gemini Nano v3, AVF/pKVM, and long support. What it means now.
